neuronika VS autograph

Compare neuronika vs autograph and see what are their differences.

autograph

A machine learning library for Rust. (by charles-r-earp)
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neuronika autograph
19 5
1,073 325
1.6% 0.3%
0.0 9.0
over 2 years ago 8 months ago
Rust Rust
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

neuronika

Posts with mentions or reviews of neuronika. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-02.

autograph

Posts with mentions or reviews of autograph. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-04.
  • Where to Learn Vulkan for parallel computation (with references to porting from CUDA)
    5 projects | /r/vulkan | 4 Jan 2022
    I'm working on a machine learning library https://github.com/charles-r-earp/autograph implemented in Rust that uses rust-gpu to compile Rust compute shaders to spirv, and then gfx_hal to target metal and dx12. Training performance is currently about 2x slower than pytorch (cuda) on my laptop but I've made significant progress recently and I am targeting 1.5x. While rust-gpu itself has it's own restrictions, it does support inline spirv assembly, which provides direct access to operations not provided in its std lib, thus it's lower level than GLSL. For example, it should be possible to target cuda tensor cores via cooperative matrix operations (I believe Metal supports these as well but this may not be implemented in spirv-cross and certainly isn't in naga). Once I have things a bit more stabilized I'd like to provide more examples, like porting from cuda / opencl, but I'm still figuring out patterns like how to work with 16 and 8 bit types in a nice and portable way.
  • autograph v0.1.0
    3 projects | /r/rust | 30 Oct 2021
    autograph v0.1.0
  • What's the current state of GPU compute in rust?
    6 projects | /r/rust | 20 Sep 2021
    Working on autograph, for machine learning and neural networks. Unlike CUDA / HIP it's threadsafe, but doesn't expose low level things like multiple streams. Most of the shaders are glsl but I'm now using rust_gpu for pure rust gpu code.
  • Announcing neuronika 0.1.0, a deep learning framework in Rust
    7 projects | /r/rust | 15 Jun 2021
    Maybe not for learning but as inspiration I have to plug this amazing effort for ML with (vulkan) shaders: https://github.com/charles-r-earp/autograph
  • What do you think about a library that helps reducing the overhead of GPU programming, regarding ndimensional Arrays?
    5 projects | /r/rust | 13 Feb 2021
    Maybe you'd be interested in checking out my library, https://github.com/charles-r-earp/autograph?

What are some alternatives?

When comparing neuronika and autograph you can also consider the following projects:

rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations

petgraph - Graph data structure library for Rust.

tractjs - Run ONNX and TensorFlow inference in the browser.

ocl - OpenCL for Rust

skytable - Skytable is a modern scalable NoSQL database with BlueQL, designed for performance, scalability and flexibility. Skytable gives you spaces, models, data types, complex collections and more to build powerful experiences

juice - The Hacker's Machine Learning Engine

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Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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Did you know that Rust is
the 5th most popular programming language
based on number of references?